A5100406958- Metaheuristic Optimization Algorithms Research
- Opinion Dynamics and Social Influence
- Composite Structure Analysis and Optimization
- Medical Imaging Techniques and Applications
- Advanced Multi-Objective Optimization Algorithms
- Advanced Numerical Analysis Techniques
- Complex Network Analysis Techniques
- Evolutionary Game Theory and Cooperation
- Evolutionary Algorithms and Applications
- Blind Source Separation Techniques
- EEG and Brain-Computer Interfaces
- Radiation Detection and Scintillator Technologies
- Topology Optimization in Engineering
- Non-Invasive Vital Sign Monitoring
- Atomic and Subatomic Physics Research
- Evolution and Genetic Dynamics
- Advanced X-ray and CT Imaging
- Numerical methods in engineering
- Traffic Prediction and Management Techniques
- Healthcare Technology and Patient Monitoring
- Mathematical and Theoretical Epidemiology and Ecology Models
- Power Systems and Technologies
- Environmental remediation with nanomaterials
- Neural Networks and Applications
- Adaptive Control of Nonlinear Systems
Anhui Polytechnic University
2021-2025
Tianjin University of Technology
2024
Zhengzhou University
2023-2024
Beijing University of Technology
2024
Hohai University
2017-2023
Anhui University of Technology
2011-2023
Ministry of Education of the People's Republic of China
2022
Changchun University of Science and Technology
2022
Changchun Institute of Optics, Fine Mechanics and Physics
2022
Chinese Academy of Sciences
2020-2022
In the last two decades, a variety of different types multiobjective optimization problems (MOPs) have been extensively investigated in evolutionary computation community. However, most existing algorithms encounter difficulties dealing with MOPs whose Pareto optimal solutions are sparse (i.e., decision variables zero), especially when number is large. Such large-scale exist wide range applications, for example, feature selection that aims to find small subset features from large candidate...
Influence maximization in a social network refers to the selection of node sets that support fastest and broadest propagation information under chosen transmission model. The efficient identification such influence-maximizing groups is an active area research with diverse practical relevance. Greedy-based methods can provide solutions reliable accuracy, but computational cost required Monte Carlo simulations renders them infeasible for large networks. Meanwhile, although structure-based...
Rumor spreading can have a significant impact on people's lives, distorting scientific facts and influencing political opinions. With technologies that democratized the production reproduction of information, rate at which misinformation spread has increased significantly, leading many to describe contemporary times as 'post-truth era'. Research into rumor primarily been based either model social biological contagion, or upon models opinion dynamics. Here we present comprehensive is...
In response to the relentless mutation of coronavirus disease, current artificial intelligence algorithms for automated diagnosis COVID-19 via CT imaging exhibit suboptimal accuracy and efficiency. This manuscript proposes a multi-objective optimization algorithm (MOAOA) enhance BiLSTM model diagnosis. The proposed approach involves configuring several hyperparameters bidirectional long short-term memory (BiLSTM), optimized using MOAOA intelligent algorithm, subsequently validated on...
Abstract Electroencephalography (EEG) is a complex bioelectrical signal. Analysis of which can provide researchers with useful physiological information. In order to recognize and classify EEG signals, pattern recognition method for optimizing the support vector machine (SVM) by using improved squirrel search algorithm (ISSA) proposed. The signal preprocessed, its time domain features being extracted directed SVM as feature vectors classification identification. this paper, good point set...
The advent of social media and technologies augmenting communication has dramatically amplified the role rumor spreading in shaping society, via means misinformation fact distortion. Existing research commonly utilize contagion mechanisms, statistical mechanics frameworks, or complex-network opinion dynamics models. In this paper, we incorporate information distortion polarization effects into an model based on entropy, modeling imprecision human memory communication, consequent progressive...
An efficient isogeometric analysis method (IGA) based on a simple first-order shear deformation theory is presented to study free vibration, static bending response, dynamic and active control of functionally graded plates (FGPs) integrated with piezoelectric layers. Based the neutral surface, finite element motion equations (PFGPs) are derived using linear constitutive equation Hamilton’s principle. The convergence accuracy for PFGPs various mechanical electrical boundary conditions have...